The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses.After ...

The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The first job for many artificial intelligence (AI) algorithms is to examine the data and find the best classification. An autonomous car, for example, may take an image of a street sign; the ...

Because of this, k-NN classification is often best used as part of an ensemble approach to validate other classification algorithms. For example, you could predict using a logistic regression model ...

In a step toward an AI-forward alternative, researchers at Google developed LEAF, a frontend that that breaks down mel-filterbanks into several components — filtering, pooling, and compression ...

Now, what if instead of a cat classification model, we’ve built a facial recognition model, and we were using this model for security purposes. ... Problem #1: Unexplainable algorithms.